There are currently different standards for representing electronic healthcare records (EHR). Each standard defines its own information models, so that, in order to promote the interoperability among standard-compliant information systems, the different information models must be semantically integrated. In this work, we present an ontological approach to promote interoperability among CEN- and OpenEHR-compliant information systems.
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http://dx.doi.org/10.1109/IEMBS.2006.259686 | DOI Listing |
BMJ Ment Health
December 2024
Centre for Engineering Biology and School of Biological Sciences, University of Edinburgh, Edinburgh, UK
Data sharing is a cornerstone of modern scientific research, playing a critical role in fostering greater collaboration, enhancing reproducibility, transparency and efficiency of scientific discoveries, and integrating diverse data sources. In circadian rhythm research, data sharing is particularly important due to the complexity and heterogeneity of the data, which includes molecular profiles, physiological measurements, clinical data and sensor-based data. UK research funders, such as Medical Research Council, Wellcome Trust and UK Research and Innovation, have established data-sharing policies to promote open science and enhance research transparency.
View Article and Find Full Text PDFInteract J Med Res
December 2024
Life Science Laboratories, KDDI research atelier, KDDI Research, Inc, Fujimino, Saitama, Japan.
Government policies in the United States and the European Union promote standardization and value creation in the use of FAIR (findability, accessibility, interoperability, and reusability) data, which can enhance trust in digital health systems and is crucial for their success. Trust is built through elements such as FAIR data access, interoperability, and improved communication, which are essential for fostering innovation in digital health technologies. This Viewpoint aims to report on exploratory research demonstrating the feasibility of testing a patient-centric data flow model facilitating semantic interoperability on precision medical information.
View Article and Find Full Text PDFFront Glob Womens Health
November 2024
Nuffield Department of Women's & Reproductive Health, Medical Sciences Division, University of Oxford, Oxford, United Kingdom.
Introduction: Perinatal and maternal mortality rates remain high in India compared to global levels, and there is significant heterogeneity in outcomes across Indian states. Many mobile health (mHealth) interventions have been developed to improve maternal and infant health outcomes in India, however it is unclear how mHealth can best support women in this culturally and resource diverse setting. Therefore, we aimed to identify mHealth interventions targeting women and their families in the perinatal period in India, identify barriers and facilitators to their uptake, and future research directions.
View Article and Find Full Text PDFIn 2023, the Korean Core Data for Interoperability (KR-CDI), comprising 77 elements, was established as a compliance item for healthcare data exchange in Korea to promote patient-centered medical information exchange and reestablish national interoperability in healthcare standardization. Radiologic examinations are in the core classification of diagnostic imaging tests, and the examination name, results, and image data must be exchanged based on standard codes of terminology and transfer. Accordingly, the Korean Society of Radiology has formed a standardization committee that maps radiologic examination names to international standard codes, such as LOINC and SNOMED CT.
View Article and Find Full Text PDFExp Neurol
December 2024
Department of Neurological Surgery, Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California San Francisco, San Francisco, CA, USA; Department of Physical Therapy, Faculty of Rehabilitation Medicine, Institute for Neuroscience and Mental Health, University of Alberta, Edmonton, Alberta, Canada; School of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, Ontario, Canada. Electronic address:
Data interoperability is crucial for effectively combining data for scientific inquiry. To facilitate interoperability, data standards such as a common definition of variables are often developed. The Open Data Commons for Spinal Cord Injury (odc-sci.
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